why would the auther use this as a correlations to suppoet his cunculesn a positive correlation between time and average yearly temperatures
The author may use a positive correlation between time and average yearly temperatures to support his conclusions for a few reasons:
1. Long-term trend analysis: By demonstrating a positive correlation between time and average yearly temperatures, the author can argue that climate change is occurring. The increasing trend in temperatures over time suggests that something is causing this change, and it aligns with the theory of human-induced global warming.
2. Data reliability: Showing a positive correlation between time and average yearly temperatures can help assure readers that the data used in the study is statistically robust and reliable. If the data shows a consistent increase in temperatures over time, it adds credibility to the author's conclusions.
3. Predictive power: Highlighting a positive correlation between time and average yearly temperatures can also support the author's predictions about future climate patterns. If temperatures have consistently increased over time, there is a higher likelihood that they will continue to do so in the future. This lends support to the author's argument for taking immediate action to mitigate the effects of climate change.
4. Comparison to other studies: The author may reference other studies or research that have also found a positive correlation between time and average yearly temperatures. By building upon the results of established research, the author can strengthen their own conclusions and contribute to the consensus on climate change.
Ultimately, the positive correlation between time and average yearly temperatures provides evidence for the author's conclusions regarding climate change and its impact on temperature patterns.